2014 ◽  
Vol 25 (3) ◽  
pp. 035101 ◽  
Author(s):  
Jacques Marteau ◽  
Jean de Bremond d’Ars ◽  
Dominique Gibert ◽  
Kevin Jourde ◽  
Serge Gardien ◽  
...  

2010 ◽  
Vol 34 (5) ◽  
pp. 610-614 ◽  
Author(s):  
Ma Ling-Ling ◽  
Wang Wen-Xin ◽  
Zhou Jian-Rong ◽  
Sun Shao-Hua ◽  
Liu Zuo-Ye ◽  
...  
Keyword(s):  

Author(s):  
A. Anastasio ◽  
F. Ambrosino ◽  
D. Basta ◽  
L. Bonechi ◽  
M. Brianzi ◽  
...  
Keyword(s):  

2008 ◽  
Author(s):  
Yuanyuan Liu ◽  
Ziran Zhao ◽  
Zhiqiang Chen ◽  
Li Zhang ◽  
Yuxiang Xing

2021 ◽  
Vol 84 (6) ◽  
pp. 855-859
Author(s):  
A. B. Alexandrov ◽  
S. G. Vasina ◽  
V. I. Galkin ◽  
L. A. Goncharova ◽  
A. S. Konovalov ◽  
...  

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
R. Nishiyama ◽  
A. Ariga ◽  
T. Ariga ◽  
A. Lechmann ◽  
D. Mair ◽  
...  

2021 ◽  
Vol 7 ◽  
pp. 12
Author(s):  
Thomas Braunroth ◽  
Nadine Berner ◽  
Florian Rowold ◽  
Marc Péridis ◽  
Maik Stuke

Cosmic-ray muons can be used for the non-destructive imaging of spent nuclear fuel in sealed dry storage casks. The scattering data of the muons after traversing provides information on the thereby penetrated materials. Based on these properties, we investigate and discuss the theoretical feasibility of detecting single missing fuel rods in a sealed cask for the first time. We perform simulations of a vertically standing generic cask model loaded with fuel assemblies from a pressurized water reactor and muon detectors placed above and below the cask. By analysing the scattering angles and applying a significance ratio based on the Kolmogorov-Smirnov test statistic we conclude that missing rods can be reliably identified in a reasonable measuring time period depending on their position in the assembly and cask, and on the angular acceptance criterion of the primary, incoming muons.


2017 ◽  
Author(s):  
J. Matthew Durham ◽  
Elena Guardincerri ◽  
Christopher Morris ◽  
Daniel Cris Poulson ◽  
Jeffrey Darnell Bacon ◽  
...  
Keyword(s):  

Author(s):  
K. Jourde ◽  
D. Gibert ◽  
J. Marteau

Abstract. This paper examines how the resolution of small-scale geological density models is improved through the fusion of information provided by gravity measurements and density muon radiographies. Muon radiography aims at determining the density of geological bodies by measuring their screening effect on the natural flux of cosmic muons. Muon radiography essentially works like medical X-ray scan and integrates density information along elongated narrow conical volumes. Gravity measurements are linked to density by a 3-D integration encompassing the whole studied domain. We establish the mathematical expressions of these integration formulas – called acquisition kernels – and derive the resolving kernels that are spatial filters relating the true unknown density structure to the density distribution actually recovered from the available data. The resolving kernels approach allows to quantitatively describe the improvement of the resolution of the density models achieved by merging gravity data and muon radiographies. The method developed in this paper may be used to optimally design the geometry of the field measurements to perform in order to obtain a given spatial resolution pattern of the density model to construct. The resolving kernels derived in the joined muon/gravimetry case indicate that gravity data are almost useless to constrain the density structure in regions sampled by more than two muon tomography acquisitions. Interestingly the resolution in deeper regions not sampled by muon tomography is significantly improved by joining the two techniques. The method is illustrated with examples for La Soufrière of Guadeloupe volcano.


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